The Strands Agents (Python) adapter for Welt's wire contract
Project description
welt-io
The Strands Agents (Python) adapter for Welt's wire contract — one of Welt's agent-side adapters.
Install
uv add welt-io
Usage
See examples/agent — the smallest complete agent built on this package (text streaming, image generation, file input, and a human-approval tool), which doubles as the example for Welt's Quick Start. The sections below explain the adapters it wires in.
API
The wire between Welt and the agent is JSON, and its contract is defined by Welt's docs — plain Strands values do not fit it in either direction. Each function below adapts one piece:
Inbound
decode_file_blocks(messages) restores the base64-encoded file bytes in Welt's Converse-shaped messages (built from Slack uploads) back to the raw bytes Strands expects, in place. Without uploads it is a no-op.
decode_interrupt_responses(responses) turns Welt's resume payload — a plain mapping of interrupt id to the answer a human chose — into the interruptResponse items that Agent.stream_async resumes from.
Outbound
renderable_events(events) reduces raw stream_async events — not JSON-serializable as-is — to the events Welt renders: text chunks (data), tool-use indicators (current_tool_use / tool_result, slimmed so text tool output stays off the wire), and generated files (file, a filename plus base64 bytes for each image/document/video block a tool or the model produces, which Welt uploads to the Slack thread — see Welt's Files doc for size limits and rendering). A stream that stops for human input (interrupts) ends with one interrupt event per pending interrupt, which Welt renders as buttons in the Slack thread; agents that do not use interrupts see no change.
file_event(name, data) builds the same file event from a filename and raw bytes, for attaching arbitrary files of your own:
yield file_event("report.csv", csv_bytes)
Tool-generated files need no code at all — for example, strands-tools' generate_image returns the image as a tool-result block, which streams into the thread by itself. The example agent includes it.
interrupt_reason(message, options=..., input=...) builds the reason shape Welt renders as a message with the specified widgets, both specs being the wire's own shapes: buttons (options, one dict per button — a required value, an optional label, an optional style of "primary" or "danger"), a free-text field whose submitted text becomes the response (input — an optional label and multiline), or both — whichever answer comes first settles the question. Omitted fields keep Welt's defaults; building the shape through this helper turns a typo into an immediate ValueError instead of a silent fallback to Welt's default rendering:
answer = tool_context.interrupt(
"deploy-approval",
reason=interrupt_reason(
"Deploy to prod?",
[
{"value": "y", "label": "Deploy", "style": "primary"},
{"value": "n", "label": "Cancel"},
],
input={"label": "Or tell me what to do instead"},
),
)
Welt's Interrupts doc covers the whole round trip: the reason contract, who can press, multiple interrupts, and expiry. Prefix your interrupt names (myapp-deploy-approval): hook-raised interrupts must be unique across the whole event, tool-raised ones within their tool, and a prefix keeps both as the agent grows.
Strands' ready-made HumanInTheLoop intervention works over Welt as-is — its string reasons render with Welt's default Approve / Deny buttons, whose y / n values its default evaluator understands. Do not pass ask: stdio prompts and callback evaluators have no terminal on AgentCore Runtime. For strands-tools packages that gate themselves behind a stdio consent prompt, set BYPASS_TOOL_CONSENT=true and let HumanInTheLoop do the gating over Slack instead; the strands-tools handoff_to_user tool is likewise stdio-bound, and a small interrupt-raising tool of your own is the replacement.
Supported Versions
Welt releases first; welt-io follows, mirroring the minor version. While both are 0.x, a welt-io 0.Y release supports Welt v0.Y — other combinations may work, but come with no guarantee.
License
MIT
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